Databricks Engineer

• Develop and maintain data pipelines and ETL processes using Databricks, Python, SQL, and Delta Lake.
• Assist in implementing scalable solutions for structured and unstructured data, leveraging Lakehouse architecture.
• Collaborate with data engineers, data scientists, and business stakeholders to understand requirements and deliver solutions.
• Support integration of Databricks with other platforms and tools, ensuring data quality and governance.
• Participate in performance tuning and troubleshooting of Databricks clusters and Spark jobs.
• Contribute to documentation of processes, workflows, and technical decisions.
• Stay updated on best practices in data management, security, and compliance.
• Engage in knowledge sharing and continuous improvement within the team

● Ability to work effectively in multicultural, distributed teams.